Instructions to use mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6aa25a0fb3ad1268aadef7255083aa285a2bf0184ad9fb61cc51a017c6a0e3a
- Size of remote file:
- 38.7 GB
- SHA256:
- 0042ade13c76b3064a7655d630d26d95d59da0e5c55e3afcc2343a692de8476f
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